Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Rishita Anubhai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 2015)

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Sundaram Ananthanarayanan; Rishita Anubhai; Jingliang Bai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; et al. (ICML, 2016)

Persistent RNNs: Stashing Recurrent Weights On-Chip. - Greg Diamos; Shubho Sengupta; Bryan Catanzaro; Mike Chrzanowski; Adam Coates 002; Erich Elsen; Jesse H. Engel; Awni Y. Hannun; Sanjeev Satheesh (ICML, 2016)

Learning Multiscale Features Directly from Waveforms. - Zhenyao Zhu; Jesse H. Engel; Awni Y. Hannun (INTERSPEECH, 2016)

Learning Multiscale Features Directly FromWaveforms. - Zhenyao Zhu; Jesse H. Engel; Awni Y. Hannun (CoRR, 2016)

Deep Music: Towards Musical Dialogue. - Mason Bretan; Sageev Oore; Jesse H. Engel; Douglas Eck; Larry P. Heck (AAAI, 2017)

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. - Jesse H. Engel; Cinjon Resnick; Adam Roberts; Sander Dieleman; Mohammad Norouzi 002; Douglas Eck; Karen Simonyan (ICML, 2017)

Opportunities for Analog Coding in Emerging Memory Systems. - Jesse H. Engel; Sukru Burc Eryilmaz; SangBum Kim; Matthew BrightSky; Chung Lam; Hsiang-Lan Lung; Bruno A. Olshausen; H.-S. Philip Wong (CoRR, 2017)

Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage. - Ryan Zarcone; Dylan M. Paiton; Alex Anderson; Jesse H. Engel; H.-S. Philip Wong; Bruno A. Olshausen (DCC, 2018)

Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models. - Jesse H. Engel; Matthew D. Hoffman; Adam Roberts (ICLR (Poster), 2018)

Learning via social awareness: improving sketch representations with facial feedback. - Natasha Jaques; Jesse H. Engel; David Ha; Fred Bertsch; Rosalind W. Picard; Douglas Eck (ICLR (Workshop), 2018)

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. - Adam Roberts; Jesse H. Engel; Colin Raffel; Curtis Hawthorne; Douglas Eck (ICML, 2018)

Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback. - Natasha Jaques; Jennifer McCleary; Jesse H. Engel; David Ha; Fred Bertsch; Douglas Eck; Rosalind W. Picard (AffComp@IJCAI, 2018)

Onsets and Frames: Dual-Objective Piano Transcription. - Curtis Hawthorne; Erich Elsen; Jialin Song; Adam Roberts; Ian Simon; Colin Raffel; Jesse H. Engel; Sageev Oore; Douglas Eck (ISMIR, 2018)

Learning Latent Representations of Music to Generate Interactive Musical Palettes. - Adam Roberts; Jesse H. Engel; Sageev Oore; Douglas Eck (IUI Workshops, 2018)

Learning a Latent Space of Multitrack Measures. - Ian Simon; Adam Roberts; Colin Raffel; Jesse H. Engel; Curtis Hawthorne; Douglas Eck (CoRR, 2018)

GANSynth: Adversarial Neural Audio Synthesis. - Jesse H. Engel; Kumar Krishna Agrawal; Shuo Chen; Ishaan Gulrajani; Chris Donahue; Adam Roberts (ICLR (Poster), 2019)

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. - Curtis Hawthorne; Andriy Stasyuk; Adam Roberts; Ian Simon; Cheng-Zhi Anna Huang; Sander Dieleman; Erich Elsen; Jesse H. Engel; Douglas Eck (ICLR, 2019)

Learning to Groove with Inverse Sequence Transformations. - Jon Gillick; Adam Roberts; Jesse H. Engel; Douglas Eck; David Bamman (ICML, 2019)

Fast and Flexible Neural Audio Synthesis. - Lamtharn Hantrakul; Jesse H. Engel; Adam Roberts; Chenjie Gu (ISMIR, 2019)

Latent Translation: Crossing Modalities by Bridging Generative Models. - Yingtao Tian; Jesse H. Engel (CoRR, 2019)

DDSP: Differentiable Digital Signal Processing. - Jesse H. Engel; Lamtharn Hantrakul; Chenjie Gu; Adam Roberts (ICLR, 2020)

Encoding Musical Style with Transformer Autoencoders. - Kristy Choi; Curtis Hawthorne; Ian Simon; Monica Dinculescu; Jesse H. Engel (ICML, 2020)

Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset. - Lee Callender; Curtis Hawthorne; Jesse H. Engel (CoRR, 2020)

Sequence-to-Sequence Piano Transcription with Transformers. - Curtis Hawthorne; Ian Simon; Rigel Swavely; Ethan Manilow; Jesse H. Engel (ISMIR, 2021)

Symbolic Music Generation with Diffusion Models. - Gautam Mittal; Jesse H. Engel; Curtis Hawthorne; Ian Simon (ISMIR, 2021)

Tone Transfer: In-Browser Interactive Neural Audio Synthesis. - Michelle Carney; Chong Li; Edwin Toh; Nida Zada; Ping Yu; Jesse H. Engel (IUI Workshops, 2021)

HEAR: Holistic Evaluation of Audio Representations. - Joseph Turian; Jordie Shier; Humair Raj Khan; Bhiksha Raj; Björn W. Schuller; Christian J. Steinmetz; Colin Malloy; George Tzanetakis; Gissel Velarde; Kirk McNally; Max Henry; Nicolas Pinto; et al. (NeurIPS (Competition and Demos), 2021)

Variable-rate discrete representation learning. - Sander Dieleman; Charlie Nash; Jesse H. Engel; Karen Simonyan (CoRR, 2021)

Expressive Communication: A Common Framework for Evaluating Developments in Generative Models and Steering Interfaces. - Ryan Louie; Jesse H. Engel; Cheng-Zhi Anna Huang (CoRR, 2021)

Improving Source Separation by Explicitly Modeling Dependencies between Sources. - Ethan Manilow; Curtis Hawthorne; Cheng-Zhi Anna Huang; Bryan Pardo; Jesse H. Engel (ICASSP, 2022)

MT3: Multi-Task Multitrack Music Transcription. - Josh Gardner 001; Ian Simon; Ethan Manilow; Curtis Hawthorne; Jesse H. Engel (ICLR, 2022)

MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling. - Yusong Wu; Ethan Manilow; Yi Deng; Rigel Swavely; Kyle Kastner; Tim Cooijmans; Aaron C. Courville; Cheng-Zhi Anna Huang; Jesse H. Engel (ICLR, 2022)

General-purpose, long-context autoregressive modeling with Perceiver AR. - Curtis Hawthorne; Andrew Jaegle; Catalina Cangea; Sebastian Borgeaud; Charlie Nash; Mateusz Malinowski; Sander Dieleman; Oriol Vinyals; Matthew M. Botvinick; Ian Simon; Hannah Sheahan; Neil Zeghidour; et al. (ICML, 2022)

Multi-instrument Music Synthesis with Spectrogram Diffusion. - Curtis Hawthorne; Ian Simon; Adam Roberts; Neil Zeghidour; Josh Gardner 001; Ethan Manilow; Jesse H. Engel (ISMIR, 2022)

Scaling Polyphonic Transcription with Mixtures of Monophonic Transcriptions. - Ian Simon; Josh Gardner 001; Curtis Hawthorne; Ethan Manilow; Jesse H. Engel (ISMIR, 2022)

Expressive Communication: Evaluating Developments in Generative Models and Steering Interfaces for Music Creation. - Ryan Louie; Jesse H. Engel; Cheng-Zhi Anna Huang (IUI, 2022)

Compositional Steering of Music Transformers 66-80. - Halley Young; Vincent Dumoulin; Pablo S. Castro; Jesse H. Engel; Cheng-Zhi Anna Huang (IUI Workshops, 2022)

HEAR 2021: Holistic Evaluation of Audio Representations. - Joseph Turian; Jordie Shier; Humair Raj Khan; Bhiksha Raj; Björn W. Schuller; Christian J. Steinmetz; Colin Malloy; George Tzanetakis; Gissel Velarde; Kirk McNally; Max Henry; Nicolas Pinto; et al. (CoRR, 2022)

The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling. - Yusong Wu; Josh Gardner 001; Ethan Manilow; Ian Simon; Curtis Hawthorne; Jesse H. Engel (CoRR, 2022)

Redefining Relationships in Music. - Christian Detweiler; Beth Coleman; Fernando Diaz 001; Lieke Dom; Chris Donahue; Jesse H. Engel; Cheng-Zhi Anna Huang; Larry James; Ethan Manilow; Amanda McCroskery; Kyle Pedersen; Pamela Peter-Agbia; et al. (CoRR, 2022)

MusicLM: Generating Music From Text. - Andrea Agostinelli; Timo I. Denk; Zalán Borsos; Jesse H. Engel; Mauro Verzetti; Antoine Caillon; Qingqing Huang; Aren Jansen; Adam Roberts; Marco Tagliasacchi; Matthew Sharifi; Neil Zeghidour; et al. (CoRR, 2023)

SingSong: Generating musical accompaniments from singing. - Chris Donahue; Antoine Caillon; Adam Roberts; Ethan Manilow; Philippe Esling; Andrea Agostinelli; Mauro Verzetti; Ian Simon; Olivier Pietquin; Neil Zeghidour; Jesse H. Engel (CoRR, 2023)

Noise2Music: Text-conditioned Music Generation with Diffusion Models. - Qingqing Huang; Daniel S. Park; Tao Wang; Timo I. Denk; Andy Ly; Nanxin Chen; Zhengdong Zhang; Zhishuai Zhang; Jiahui Yu; Christian Havnø Frank; Jesse H. Engel; Quoc V. Le; et al. (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Live Music Models. - Antoine Caillon; Brian McWilliams; Cassie Tarakajian; Ian Simon; Ilaria Manco; Jesse H. Engel; Noah Constant; Yunpeng Li 008; Timo I. Denk; Alberto Lalama; Andrea Agostinelli; Cheng-Zhi Anna Huang; et al. (CoRR, 2025)